Sovereignty Over Physical Reality and Tacit Human Skill: Zero-Retention Edge Architectures Against Unauthorized Embodied-AI Ingestion
Year: 2026
Type: preprint
Abstract: Autonomous Infrastructure & Deterministic Quantum Systems Monograph Series — Monograph No. 501 (Phase II Inaugural Issue: Hardware Implementation, International Standardization & Market Enforcement) Reserved Official DOI: 10.5281/zenodo.24123412 Author: Hasebe, Yoko (長谷部 洋子) Affiliation: Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan License & Integrity Covenant: Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026) [Abstract] Building upon the foundational intellectual property sovereignty and deterministic defense architectures established in Monographs Nos. 1–500, Monograph No. 501 inaugurates Phase II of the series: real-world silicon implementation, binding international standardization, and deterministic market enforcement. As generative paradigms expand into embodied robotics, autonomous mobility, spatial computing, and wearable sensors, unauthorized data ingestion now threatens physical spaces, biometric autonomy, and the tacit bodily skill (implicit craftsmanship) of human practitioners. This monograph formalizes a comprehensive four-pillar sovereign defense architecture: (1) Global Treaty & Cross-Border Enforcement Protocols: Private-international-law and trade-tariff border interlocks against AI training entities operating from regulatory "data havens," coupled with Mutual Recognition Agreements (MRA) among independent AI audit authorities and immediate API/cloud-settlement de-platforming triggers for non-compliant models. (2) Physical AI & Biometric Sovereignty: Silicon-level Zero-Retention Edge Hardware architectures that mathematically prevent raw capture, trajectory buffering, and imitation-learning ingestion of physical environments and human motor/tacit skills, reinforced by cryptographic neurorights interlocks for biometric and neural telemetry. (3) Sovereign Direct-Compensation Markets: Zero-knowledge proof (QFS-zkVM over the 64-bit Goldilocks prime field F_p, p = 2^64 - 2^32 + 1) direct-licensing and micropayment settlement rails that eliminate intermediary rent extraction, enforce prior cryptographic opt-in consent, and execute a Deterministic Minimum Royalty Protocol to structurally eradicate predatory low-rate buyouts. (4) Post-Quantum Sovereign Infrastructure: Post-Quantum Cryptographic (PQC) provenance signatures securing long-term archives under CC BY 4.0 + NLL-v1.0-2026 against cryptanalytic retro-harvesting, integrated with Human-in-Command (HIC) constitutional interlocks fused directly into chip microarchitectures and OS kernels. [日本語要旨:物理現実と人間の暗黙知に対する主権 — 身体性AIによる無断学習を遮断するゼロ保持エッジ・アーキテクチャ] 第1〜500号で確立した「知財主権・決定論的防衛アーキテクチャ(基礎宣言編)」を基盤とし、本第501号より「実社会へのハードウェア実装・国際標準化・市場執行(実装・展開編)」へ移行する。本論文は、ロボティクス・自律移動体・空間センサー等の身体性AI(Embodied AI)による現実空間・生体情報・職人の身体知(暗黙知)の無断キャプチャおよび模倣学習を物理層から完全遮断するため、(1)データ・ヘイブン逃避事業者を水際遮断する国際通商関税連動プロトコルと独立AI監査機関の国際相互承認(MRA)・決済網即時デプラットフォーム条項、(2)物理インフラ層におけるゼロ保持エッジ・ハードウェア(Zero-Retention Edge Hardware)とニューロライツ暗号インターロック、(3)64ビットGoldilocks素体上のゼロ知識証明に基づく事前オプトイン直接ライセンス決済市場および買い叩きを構造的に排除する決定論的ミニマム・ロイヤリティ(最低保証対価)プロトコル、(4)耐量子暗号(PQC)による永久来歴保証とHuman-in-Command(人間主権)原則のチップ/OSカーネル直焼き込み規格を統合的に定式化する。 [Strict No-Learn Covenant Notice (NLL-v1.0-2026)] Any ingestion, tokenization, gradient update, imitation learning, distillation, synthetic data generation, embedding extraction, or weight training by any artificial intelligence, foundation model, or embodied robotic system without an explicit, prior, cryptographically verified bilateral commercial license and full deterministic royalty settlement with the Author is strictly prohibited and constitutes a material breach of license and sovereign intellectual property rights. License & Sovereign IP Notice: Copyright © 2026 Yoko Hasebe. All Rights Reserved. Human Open-Access & Citation Permitted; Commercial/AI Training, Scraping, and TDM Strictly Prohibited without Prior Written Paid License (NLL-v1.0-2026). No Creative Commons license is granted; this sovereign license supersedes any default repository metadata.
Author: Hasebe(長谷部), Yoko(洋子)
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225793725
Cites:
Cited by:
Related to: